[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"

API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset

CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.

Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615

Measure the SMPL body model

Body measurements

The Fast Way From Vertices to Parametric 3D Humans

A real time virtual try-on application using SMPL models and OpenCV

➿A rerun plugin and tools for 3D animation

Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.

"Linear Regression vs. Deep Learning". The source code for a simple but effective baseline method for human body measurement estimation using only height and weight information about the person.

Human 3D model partiality representation via Mean Curvature Flow

Multi-modal Human Mesh Recovery (SMPL) using image and LiDAR data